The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-08"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3938064 (up from 3845718 yesterday: 2.4 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "274898 (up from 269567 yesterday: 1.98 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.98



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1283929 26906 2.14 77180 1518 2.01 6.01
Spain 222857 1410 0.64 26299 229 0.88 11.80
Italy 217185 1327 0.61 30201 243 0.81 13.91
United Kingdom 212629 4652 2.24 31316 627 2.04 14.73
Russia 187859 10699 6.04 1723 98 6.03 0.92
France 176202 1284 0.73 26233 243 0.93 14.89
Germany 170588 1158 0.68 7510 118 1.60 4.40
Brazil 146894 11121 8.19 10017 827 9.00 6.82
Turkey 135569 1848 1.38 3689 48 1.32 2.72
Iran 104691 1556 1.51 6541 55 0.85 6.25
China 83976 1 0.00 4637 0 0.00 5.52
Canada 67674 1473 2.23 4697 156 3.44 6.94
Peru 61847 3321 5.67 1714 87 5.35 2.77
India 59695 3344 5.93 1985 96 5.08 3.33
Belgium 52011 591 1.15 8521 106 1.26 16.38
Netherlands 42292 319 0.76 5377 71 1.34 12.71
Saudi Arabia 35432 1701 5.04 229 10 4.57 0.65
Mexico 31522 1906 6.44 3160 199 6.72 10.02
Switzerland 30207 81 0.27 1823 13 0.72 6.04
Ecuador 28818 -1480 -4.88 1704 50 3.02 5.91
Portugal 27268 553 2.07 1114 9 0.81 4.09
Pakistan 26435 1791 7.27 599 14 2.39 2.27
Chile 25972 1391 5.66 294 9 3.16 1.13
Sweden 25265 642 2.61 3175 135 4.44 12.57
Ireland 22541 156 0.70 1429 26 1.85 6.34
Singapore 21707 768 3.67 20 0 0.00 0.09
Belarus 21101 933 4.63 121 5 4.31 0.57
Qatar 20201 1311 6.94 12 0 0.00 0.06
United Arab Emirates 16793 553 3.41 174 9 5.45 1.04
Israel 16436 55 0.34 245 5 2.08 1.49
Austria 15774 22 0.14 614 5 0.82 3.89
Japan 15575 98 0.63 590 13 2.25 3.79
Poland 15366 319 2.12 776 21 2.78 5.05
Romania 14811 312 2.15 923 35 3.94 6.23
Ukraine 14195 504 3.68 361 21 6.18 2.54
Bangladesh 13134 709 5.71 206 7 3.52 1.57
Indonesia 13112 336 2.63 943 13 1.40 7.19
Korea, South 10840 18 0.17 256 0 0.00 2.36
Philippines 10463 120 1.16 696 11 1.61 6.65
Denmark 10416 135 1.31 522 8 1.56 5.01
Colombia 10051 595 6.29 428 21 5.16 4.26
Serbia 9943 95 0.96 209 3 1.46 2.10
Dominican Republic 9376 281 3.09 380 7 1.88 4.05
South Africa 8895 663 8.05 178 17 10.56 2.00
Egypt 8476 495 6.20 503 21 4.36 5.93
Czechia 8077 46 0.57 273 3 1.11 3.38
Norway 8070 36 0.45 218 1 0.46 2.70
Panama 8070 202 2.57 231 6 2.67 2.86
Kuwait 7208 641 9.76 47 3 6.82 0.65
Australia 6918 5 0.07 97 0 0.00 1.40
Malaysia 6535 68 1.05 107 0 0.00 1.64
Finland 5738 65 1.15 260 5 1.96 4.53
Morocco 5711 163 2.94 186 3 1.64 3.26
Argentina 5611 240 4.47 293 11 3.90 5.22
Algeria 5369 187 3.61 488 5 1.04 9.09
Kazakhstan 4834 256 5.59 31 1 3.33 0.64
Moldova 4728 123 2.67 150 5 3.45 3.17
Bahrain 4444 245 5.83 8 0 0.00 0.18
Ghana 4012 921 29.80 18 0 0.00 0.45
Nigeria 3912 386 10.95 117 10 9.35 2.99
Luxembourg 3871 12 0.31 100 0 0.00 2.58
Afghanistan 3778 215 6.03 109 3 2.83 2.89
Hungary 3178 28 0.89 392 9 2.35 12.33
Oman 3112 154 5.21 16 1 6.67 0.51
Armenia 3029 145 5.03 43 1 2.38 1.42
Thailand 3000 8 0.27 55 0 0.00 1.83
Greece 2691 13 0.49 150 2 1.35 5.57
Iraq 2603 60 2.36 104 2 1.96 4.00
Uzbekistan 2325 27 1.17 10 0 0.00 0.43
Azerbaijan 2279 75 3.40 28 0 0.00 1.23
Cameroon 2267 0 0.00 108 0 0.00 4.76
Bolivia 2266 185 8.89 106 4 3.92 4.68
Croatia 2161 36 1.69 86 0 0.00 3.98
Bosnia and Herzegovina 2070 43 2.12 98 8 8.89 4.73
Guinea 2009 82 4.26 11 0 0.00 0.55
Bulgaria 1872 43 2.35 86 2 2.38 4.59
Iceland 1801 0 0.00 10 0 0.00 0.56
Honduras 1771 86 5.10 107 2 1.90 6.04
Cuba 1741 12 0.69 74 1 1.37 4.25
Estonia 1725 5 0.29 56 0 0.00 3.25
Cote d’Ivoire 1602 31 1.97 20 0 0.00 1.25
North Macedonia 1586 14 0.89 90 1 1.12 5.67
Senegal 1551 59 3.95 13 0 0.00 0.84
New Zealand 1492 2 0.13 21 0 0.00 1.41
Slovakia 1455 10 0.69 26 0 0.00 1.79
Slovenia 1450 1 0.07 100 1 1.01 6.90
Lithuania 1436 3 0.21 49 0 0.00 3.41
Djibouti 1135 2 0.18 3 0 0.00 0.26
Sudan 1111 181 19.46 59 7 13.46 5.31
Tunisia 1030 4 0.39 45 1 2.27 4.37

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 330407 2938 0.90 26243 99 0.38 7.94 16984.40 1349.01 1 in 59
New Jersey 135840 1849 1.38 8960 153 1.74 6.60 15293.53 1008.76 1 in 65
Massachusetts 75333 1612 2.19 4702 150 3.30 6.24 10840.06 676.60 1 in 92
Illinois 73760 2889 4.08 3241 130 4.18 4.39 5820.79 255.76 1 in 172
California 63779 1631 2.62 2613 78 3.08 4.10 1614.16 66.13 1 in 620
Pennsylvania 57371 1415 2.53 3715 126 3.51 6.48 4481.41 290.19 1 in 223
Michigan 46386 641 1.40 4399 54 1.24 9.48 4644.70 440.48 1 in 215
Florida 39199 371 0.96 1669 69 4.31 4.26 1825.10 77.71 1 in 548
Texas 37246 1210 3.36 1025 40 4.06 2.75 1284.53 35.35 1 in 778
Connecticut 32411 627 1.97 2874 77 2.75 8.87 9090.71 806.11 1 in 110
Georgia 32181 563 1.78 1400 45 3.32 4.35 3030.96 131.86 1 in 330
Louisiana 30855 203 0.66 2227 19 0.86 7.22 6637.21 479.05 1 in 151
Maryland 30485 1111 3.78 1560 57 3.79 5.12 5042.44 258.04 1 in 198
Indiana 23146 643 2.86 1447 33 2.33 6.25 3438.09 214.94 1 in 291
Ohio 23016 885 4.00 1306 35 2.75 5.67 1969.01 111.73 1 in 508
Virginia 22342 772 3.58 812 43 5.59 3.63 2617.53 95.13 1 in 382
Colorado 18827 457 2.49 960 16 1.69 5.10 3269.29 166.70 1 in 306
Washington 16388 157 0.97 905 14 1.57 5.52 2152.10 118.85 1 in 465
Tennessee 14441 345 2.45 242 4 1.68 1.68 2113.37 35.42 1 in 473
North Carolina 14006 466 3.44 530 17 3.31 3.78 1335.42 50.53 1 in 749
Iowa 11457 398 3.60 243 12 5.19 2.12 3631.30 77.02 1 in 275
Rhode Island 10779 249 2.36 399 11 2.84 3.70 10175.00 376.64 1 in 98
Arizona 10526 581 5.84 517 67 14.89 4.91 1382.29 67.89 1 in 723
Minnesota 10088 723 7.72 534 26 5.12 5.29 1788.77 94.69 1 in 559
Missouri 9733 152 1.59 483 34 7.57 4.96 1585.84 78.70 1 in 631
Wisconsin 9590 375 4.07 384 10 2.67 4.00 1647.08 65.95 1 in 607
Alabama 9385 339 3.75 383 14 3.79 4.08 1914.06 78.11 1 in 522
Mississippi 9090 404 4.65 409 13 3.28 4.50 3054.28 137.43 1 in 327
Nebraska 7818 484 6.60 90 -1 -1.10 1.15 4041.55 46.53 1 in 247
South Carolina 7367 225 3.15 320 4 1.27 4.34 1430.84 62.15 1 in 699
Kansas 6667 335 5.29 168 3 1.82 2.52 2288.46 57.67 1 in 437
Kentucky 6288 159 2.59 298 4 1.36 4.74 1407.44 66.70 1 in 711
Delaware 6111 172 2.90 213 11 5.45 3.49 6275.65 218.74 1 in 159
Nevada 5920 65 1.11 294 -3 -1.01 4.97 1921.98 95.45 1 in 520
Utah 5919 195 3.41 61 0 0.00 1.03 1846.25 19.03 1 in 542
District of Columbia 5899 245 4.33 304 19 6.67 5.15 8358.50 430.75 1 in 120
New Mexico 4673 180 4.01 181 9 5.23 3.87 2228.60 86.32 1 in 449
Oklahoma 4424 94 2.17 266 6 2.31 6.01 1118.03 67.22 1 in 894
Arkansas 3747 44 1.19 88 1 1.15 2.35 1241.62 29.16 1 in 805
South Dakota 3145 239 8.22 31 0 0.00 0.99 3555.04 35.04 1 in 281
Oregon 3068 79 2.64 124 3 2.48 4.04 727.40 29.40 1 in 1375
New Hampshire 2947 104 3.66 121 7 6.14 4.11 2167.37 88.99 1 in 461
Idaho 2178 0 0.00 67 0 0.00 3.08 1215.36 37.39 1 in 823
Puerto Rico 2156 125 6.15 107 5 4.90 4.96 675.08 33.50 1 in 1481
North Dakota 1425 54 3.94 33 2 6.45 2.32 1869.93 43.30 1 in 535
Maine 1374 44 3.31 63 1 1.61 4.59 1022.16 46.87 1 in 978
West Virginia 1323 36 2.80 52 1 1.96 3.93 740.29 29.10 1 in 1351
Vermont 919 3 0.33 53 0 0.00 5.77 1472.78 84.94 1 in 679
Wyoming 644 9 1.42 7 0 0.00 1.09 1112.73 12.09 1 in 899
Hawaii 629 0 0.00 17 0 0.00 2.70 444.25 12.01 1 in 2251
Montana 458 2 0.44 16 0 0.00 3.49 428.53 14.97 1 in 2334
Alaska 377 3 0.80 10 0 0.00 2.65 515.35 13.67 1 in 1940

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1121543 330407 29.46 57652.32
New Jersey 298759 135840 45.47 33635.74
Massachusetts 366023 75333 20.58 52668.95
Illinois 399714 73760 18.45 31543.53
California 875272 63779 7.29 22151.93
Pennsylvania 270559 57371 21.20 21134.14
Michigan 260253 46386 17.82 26059.55
Florida 513341 39199 7.64 23901.07
Texas 477118 37246 7.81 16454.68
Connecticut 120541 32411 26.89 33809.62
Georgia 227567 32181 14.14 21433.36
Louisiana 202416 30855 15.24 43541.62
Maryland 152187 30485 20.03 25172.85
Indiana 130128 23146 17.79 19329.14
Ohio 184316 23016 12.49 15768.19
Virginia 129945 22342 17.19 15224.03
Colorado 94536 18827 19.92 16416.10
Washington 230680 16388 7.10 30293.27
Tennessee 243578 14441 5.93 35646.39
North Carolina 178613 14006 7.84 17030.09
Iowa 70261 11457 16.31 22269.24
Rhode Island 85266 10779 12.64 80488.14
Arizona 119907 10526 8.78 15746.38
Minnesota 101270 10088 9.96 17956.85
Missouri 108721 9733 8.95 17714.42
Wisconsin 106855 9590 8.97 18352.29
Alabama 120114 9385 7.81 24497.14
Mississippi 81191 9090 11.20 27280.56
Nebraska 40412 7818 19.35 20891.15
South Carolina 73442 7367 10.03 14264.14
Kansas 47708 6667 13.97 16375.85
Kentucky 81401 6288 7.72 18220.00
Delaware 28264 6111 21.62 29025.51
Nevada 53344 5920 11.10 17318.60
Utah 138688 5919 4.27 43259.46
District of Columbia 27115 5899 21.76 38420.17
New Mexico 89032 4673 5.25 42460.31
Oklahoma 89857 4424 4.92 22708.53
Arkansas 63994 3747 5.86 21205.34
South Dakota 21293 3145 14.77 24069.16
Oregon 72693 3068 4.22 17235.07
New Hampshire 30672 2947 9.61 22557.73
Idaho 31270 2178 6.97 17449.14
Puerto Rico 2156 2156 100.00 675.08
North Dakota 42501 1425 3.35 55771.05
Maine 23466 1374 5.86 17457.07
West Virginia 59436 1323 2.23 33257.48
Vermont 19008 919 4.83 30462.08
Wyoming 12038 644 5.35 20799.68
Hawaii 36618 629 1.72 25862.51
Montana 20945 458 2.19 19597.15
Alaska 25473 377 1.48 34820.82

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 19063 1089 6.06 3470 18.20 14862 731 37 5.33 3.83
Gujarat 7403 390 5.56 1872 25.29 5082 449 24 5.65 6.07
Delhi 6318 338 5.65 2020 31.97 4230 68 2 3.03 1.08
Tamil Nadu 6009 600 11.09 1605 26.71 4364 40 3 8.11 0.67
Rajasthan 3636 183 5.30 2021 55.58 1512 103 3 3.00 2.83
Madhya Pradesh 3341 89 2.74 1349 40.38 1792 200 7 3.63 5.99
Uttar Pradesh 3214 143 4.66 1387 43.15 1761 66 4 6.45 2.05
Andhra Pradesh 1887 54 2.95 842 44.62 1004 41 3 7.89 2.17
Punjab 1731 87 5.29 152 8.78 1550 29 1 3.57 1.68
West Bengal 1678 130 8.40 323 19.25 1195 160 9 5.96 9.54
Telangana 1132 10 0.89 727 64.22 376 29 0 0.00 2.56
Jammu and Kashmir 823 30 3.78 364 44.23 450 9 0 0.00 1.09
Karnataka 753 48 6.81 376 49.93 346 30 0 0.00 3.98
Haryana 647 22 3.52 279 43.12 360 8 1 14.29 1.24
Bihar 580 24 4.32 267 46.03 308 5 0 0.00 0.86
Kerala 504 1 0.20 484 96.03 16 4 0 0.00 0.79
Odisha 287 42 17.14 63 21.95 222 2 0 0.00 0.70
Jharkhand 154 22 16.67 41 26.62 110 3 0 0.00 1.95
Chandigarh 146 11 8.15 21 14.38 123 2 1 100.00 1.37
Tripura 118 30 34.09 2 1.69 116 0 0 NaN 0.00
Uttarakhand 63 2 3.28 45 71.43 17 1 0 0.00 1.59
Assam 60 6 11.11 35 58.33 23 2 1 100.00 3.33
Chhattisgarh 59 0 0.00 38 64.41 21 0 0 NaN 0.00
Himachal Pradesh 50 4 8.70 34 68.00 10 3 0 0.00 6.00
Ladakh 42 0 0.00 18 42.86 24 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 10 1 11.11 8 80.00 2 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 466287 80723 634 0.79 17.31 5702 400 31983 14839 18.38
Piemonte 201183 28368 233 0.83 14.10 2013 140 14107 3305 11.65
Emilia-Romagna 221866 26598 111 0.42 11.99 1680 163 7730 3797 14.28
Veneto 420949 18618 65 0.35 4.42 831 79 6187 1627 8.74
Toscana 170296 9721 38 0.39 5.71 399 84 4592 930 9.57
Liguria 63531 8723 78 0.90 13.73 517 46 3176 1265 14.50
Lazio 169499 7086 52 0.74 4.18 1278 84 4328 549 7.75
Marche 72504 6470 18 0.28 8.92 303 38 3238 954 14.74
Campania 105399 4562 21 0.46 4.33 418 28 2012 386 8.46
P.A. Trento 48220 4285 2 0.05 8.89 94 11 872 438 10.22
Puglia 74724 4256 11 0.26 5.70 349 33 2733 443 10.41
Sicilia 98711 3301 13 0.40 3.34 310 19 2127 253 7.66
Friuli Venezia Giulia 82902 3116 9 0.29 3.76 105 2 911 308 9.88
Abruzzo 46103 3078 6 0.20 6.68 250 10 1713 351 11.40
P.A. Bolzano 47908 2558 6 0.24 5.34 78 9 502 289 11.30
Umbria 44223 1406 1 0.07 3.18 47 6 119 71 5.05
Sardegna 32219 1330 6 0.45 4.13 90 10 553 119 8.95
Valle d’Aosta 9280 1151 1 0.09 12.40 45 2 123 139 12.08
Calabria 43980 1126 1 0.09 2.56 73 2 619 90 7.99
Basilicata 16777 382 -1 -0.26 2.28 48 2 152 26 6.81
Molise 8502 327 22 7.21 3.85 6 0 184 22 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 36161 912 2.59 2726 94 3.57 7.54 4235.46 319.29 1 in 236
Ontario 20826 438 2.15 1665 58 3.61 7.99 1415.60 113.17 1 in 706
Alberta 6098 81 1.35 115 1 0.88 1.89 1381.78 26.06 1 in 724
British Columbia 2315 27 1.18 127 1 0.79 5.49 452.95 24.85 1 in 2208
Nova Scotia 1008 1 0.10 46 2 4.55 4.56 1031.25 47.06 1 in 970
Saskatchewan 544 13 2.45 7 0 0.00 1.29 460.37 5.92 1 in 2172
Manitoba 284 1 0.35 7 0 0.00 2.46 206.17 5.08 1 in 4850
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1044 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 657 7 1.07
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 113 1 0.88
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3923.99 235.88 1 in 255
Spain 4776.19 563.63 1 in 209
Italy 3591.02 499.36 1 in 278
United Kingdom 3200.32 471.34 1 in 312
Russia 1300.06 11.92 1 in 769
France 2630.27 391.60 1 in 380
Germany 2060.49 90.71 1 in 485
Brazil 701.83 47.86 1 in 1425
Turkey 1677.63 45.65 1 in 596
Iran 1289.93 80.59 1 in 775
China 60.59 3.35 1 in 16505
Canada 1800.32 124.95 1 in 555
Peru 1922.51 53.28 1 in 520
India 44.58 1.48 1 in 22431
Belgium 4562.37 747.46 1 in 219
Netherlands 2461.70 312.98 1 in 406
Saudi Arabia 1075.65 6.95 1 in 930
Mexico 243.98 24.46 1 in 4099
Switzerland 3524.74 212.72 1 in 284
Ecuador 1733.94 102.53 1 in 577

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 181783 19561 10.76
Cook Illinois 50236 2197 4.37
Nassau New York 37812 1918 5.07
Suffolk New York 36223 1568 4.33
Westchester New York 30905 1191 3.85
Los Angeles California 30319 1470 4.85
Wayne Michigan 17824 2028 11.38
Philadelphia Pennsylvania 17517 875 5.00
Hudson New Jersey 17365 945 5.44
Middlesex Massachusetts 17014 1132 6.65
Bergen New Jersey 16709 1329 7.95
Essex New Jersey 15350 1402 9.13
Suffolk Massachusetts 14944 683 4.57
Passaic New Jersey 14280 715 5.01
Union New Jersey 13917 844 6.06
Miami-Dade Florida 13664 468 3.43
Middlesex New Jersey 13617 748 5.49
Fairfield Connecticut 12879 1006 7.81
Rockland New York 12349 562 4.55
Essex Massachusetts 10995 601 5.47
Orange New York 9402 367 3.90
Prince George’s Maryland 8901 339 3.81
New Haven Connecticut 8887 669 7.53
Oakland Michigan 7664 805 10.50
Harris Texas 7594 160 2.11
Worcester Massachusetts 7410 404 5.45
Ocean New Jersey 7277 516 7.09
Providence Rhode Island 7138 0 0.00
Marion Indiana 7078 403 5.69
Hartford Connecticut 6904 884 12.80
King Washington 6863 487 7.10
Norfolk Massachusetts 6801 623 9.16
Monmouth New Jersey 6752 429 6.35
Orleans Louisiana 6645 463 6.97
Jefferson Louisiana 6610 392 5.93
Montgomery Maryland 6316 355 5.62
Plymouth Massachusetts 6194 375 6.05
Macomb Michigan 5963 682 11.44
District of Columbia District of Columbia 5899 304 5.15
Morris New Jersey 5767 506 8.77
Broward Florida 5688 248 4.36
Maricopa Arizona 5525 238 4.31
Dallas Texas 5369 135 2.51
Fairfax Virginia 5338 227 4.25
Mercer New Jersey 5111 322 6.30
Montgomery Pennsylvania 5037 515 10.22
Lake Illinois 4985 170 3.41
Riverside California 4756 192 4.04
Delaware Pennsylvania 4680 382 8.16
Bristol Massachusetts 4670 252 5.40

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc